218results about How to "Improve response efficiency" patented technology

The invention relates to the technical field of rural image inspection and recognition, and discloses a multi-source image collaborative inspection and recognition analysis system and method for a digital rural area, and the method comprises the steps: collecting multi-source image data in real time; obtaining a plurality of characteristic parameters corresponding to each image data item in the image data set, and carrying out space-time registration and multi-scale fusion processing on the plurality of characteristic parameters of each image data item; performing target detection and identification analysis on the plurality of feature parameters in the fusion feature parameter set, and constructing an abnormal point identification model; setting a plurality of abnormal point change thresholds according to the inspection coordinate data set for classification processing to obtain a plurality of abnormal point categories; and setting a corresponding co-processing scheme according to the plurality of abnormal point categories, and setting early warning information corresponding to the change trends of the plurality of abnormal point categories based on the co-processing scheme. According to the invention, the intelligent degree and response efficiency of rural inspection are improved, and the safety and sustainable development of digital rural construction are effectively guaranteed.

The invention provides a traceability analysis method and device, a storage medium and electronic equipment, and the method is applied to the technical field of computers, and comprises the steps: determining a target traceability type corresponding to network data to be traced, and carrying out the multi-dimensional traceability processing based on a traceability rule corresponding to the target traceability type and a multi-dimensional underlying database, and determining associated equipment information corresponding to the to-be-traced network data, performing traceability analysis processing based on the associated equipment information, and generating a traceability result report corresponding to the to-be-traced network data. According to the method, the associated equipment information can be determined through the traceability type in combination with the multi-dimensional underlying database, the response efficiency and accuracy of network data traceability are improved, and the result report is generated so that related personnel can check and use the traceability result conveniently.

The invention provides a business process intelligent configuration and security execution method, system and device, and the method comprises the steps: converting a natural language demand into a BPMN 2.0 process model based on a large language model and an enterprise knowledge base; the service rule description is converted into a Grouping script through multi-level security compiling; the process and the script are executed in the Flowable process engine integrated with the security sandbox, and execution data are collected; and calculating a process health score based on the data, generating and implementing an optimization suggestion, and feeding back a result to the knowledge base. The problems that a traditional process system depends on manual coding, the script safety is poor, and continuous optimization is lacked can be solved. The full-link automation and intelligentization of the business process from design, execution to optimization can be realized, the development efficiency and the system security are greatly improved, and the process has the self-evolution capability through closed-loop feedback.

The invention discloses a multi-agent cooperation method, system and device based on shared memory data, and a medium, mainly relates to the technical field of multi-agents, and aims to solve the problem that a traditional reasoning system cannot recognize semantic similarity between requests and cannot sense a context relationship of agent tasks, so that the efficiency is improved. The intelligent agent system is often deployed at multiple nodes, and the cache result cannot be shared across the nodes. Comprising the steps of obtaining an output result and an intermediate result generated by each path node; caching the semantic signature and the output result to a preset result cache layer; caching an intermediate result generated by each path node as context information to a preset context cache layer; and according to a preset time window, detecting inference frequencies of different semantic signatures generated by all the agents, and according to the inference frequencies, adjusting storage time of output results corresponding to the semantic signatures in a preset result cache layer.

The invention discloses a communication control method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of communication, and the method comprises the steps: receiving CEC communication data, and carrying out the non-standard type recognition of the CEC communication data through a type recognition model if a non-standard behavior of the CEC communication data is detected, thereby obtaining a target non-standard type, and determining a non-standard compensation strategy according to the target non-standard type, and responding to the CEC communication data according to the non-standard compensation strategy to obtain a communication result. The effective period of the non-standard behavior analysis and compensation strategy is shortened, the non-standard behavior response efficiency is improved, the recognition and compensation of the novel non-standard behaviors are improved, and the user experience is improved.

The invention provides an intelligent fishpond oxygenation monitoring system based on the Internet of Things. The intelligent fishpond oxygenation monitoring system based on the Internet of Things comprises a power supply module, an on-site monitoring module, a cloud service module and a user terminal power supply module. According to the intelligent fishpond oxygenation monitoring system based on the Internet of Things, the abnormal response speed is increased, the breeding risk is reduced, the video analysis algorithm unit reduces the manual patrol cost and prevents the property safety risk in time, and the instruction forwarding unit guarantees information circulation of all modules of the system and supports remote control and alarm pushing; the data visualization interface of the user terminal reduces the data understanding threshold and improves the management efficiency, the alarm management unit shortens the abnormal response time and reduces the breeding and property loss, the equipment control unit gives consideration to the intellectualization and manual intervention requirements and improves the management flexibility, and the historical data query unit provides a data basis for breeding scheme optimization and risk pre-judgment. And fine breeding is assisted.

The application discloses a kind of highway maintenance digital twinborn application system construction method and system, it is related to digital twinborn technical field, the steps of this method include: real-time acquisition of the multi-source perception data of highway section, and introduce constraint engine, to highway three-dimensional entity construction, generate several three-dimensional sub-image model;Among them, multi-source perception data includes highway image, highway laser point cloud and component attribute;Based on three-dimensional sub-image model, abstractly constructed to form topological space, adopt interpolation algorithm to generate datum curve, and combine the grid vertex of three-dimensional sub-image model, identify envelope boundary, to execute cross section scanning and generate target rendering road;Based on target rendering road, identify disease area, and based on disease area introduce preset maintenance rule, through semantic mounting mapping back to topological space, form digital twinborn application system;The application improves the efficiency of highway maintenance management, improves the computing power and rendering performance of three-dimensional rendering.

This invention discloses a differential VGA signal decoding and display device, relating to the display field. It includes a signal input module, an ESD protection module, a differential receiving module, a synchronization separation module, an image decoding driver module, a display module, an audio processing module, and a control module. These modules are interconnected and work together to decode, process, and display differential VGA signals. This differential VGA signal decoding and display device solves the problems of short transmission distance, weak anti-interference capability, limited resolution, and high power consumption associated with traditional VGA interfaces. It also achieves full compatibility with traditional VGA devices, integrating audio processing, local playback, intelligent signal enhancement, and remote monitoring and management functions. It achieves reliable conversion from analog to differential signals, supports high-definition display, and has a transmission distance of up to 50 meters, while maintaining full compatibility with traditional VGA devices. This technology is particularly suitable for professional fields such as industrial automation and medical imaging, meeting the diverse display and intelligent operation and maintenance needs of professional scenarios.

The application provides a die cutting and hot stamping equipment intelligent state monitoring and fault diagnosis system and method, and relates to the field of intelligent monitoring.The method comprises the following steps: collecting working parameters of multiple key parts of the die cutting and hot stamping equipment, constructing a time sequence collection window, slidingly collecting the working parameters, and obtaining characteristic information reflecting the equipment state; based on the characteristic information, constructing an anomaly detection model, performing anomaly detection on the equipment state, obtaining an anomaly score, and judging whether the equipment state is abnormal according to the anomaly score; for the characteristic information judged as abnormal, constructing a fault diagnosis model based on the fault type to which the characteristic information belongs, performing fault diagnosis on the equipment state, and generating a diagnosis result; and generating a comprehensive diagnosis and operation and maintenance decision report according to the diagnosis result.The application realizes comprehensive perception of the internal state of a closed host through multi-sensor collaborative monitoring and dynamic time sequence collection, breaks through the limitations of traditional monitoring, and provides accurate data basis for early fault warning and predictive maintenance.

The present application relates to a kind of modular molten salt loading and storage system, including vertical support structure rack, normal temperature electrical equipment group and high temperature molten salt equipment group are physically separated by isolation fence and integrated in it;High temperature molten salt equipment group includes molten salt storage tank and molten salt pipeline connected with molten salt storage tank;Molten salt pipeline includes molten salt loading pipe, molten salt loading pipe has upward inclination relative to horizontal plane, to realize the self-weight backflow of molten salt;The middle section of molten salt loading pipe is connected with molten salt isolation valve, and molten salt isolation valve and normal temperature electrical equipment group are cooperated to realize the on-off control of molten salt loading pipe.The present application effectively avoids the thermal influence of high temperature environment on normal temperature electrical equipment by isolation fence, and the integrated design of overall modularization integrates the core equipment of molten salt loading and storage into one, discards the traditional dispersed equipment arrangement and installation mode, greatly simplifies the field construction process, reduces installation period, also makes the debugging, maintenance and overhaul of system more convenient.

The application provides a kind of campus security risk prevention and control cloud service platform, it is related to cloud platform technical field, including: data processing and transmission module, for based on cloud platform architecture data storage, processing and secure transmission, and support the automatic reconnection and concurrent control of data transmission;Safety assurance module, connect data processing and transmission module, for the digital management of the civil air defense, physical protection and technical support information of campus;Security risk prevention and control module, connect data processing and transmission module and safety assurance module, for the information processing and linkage of campus safety management, safety education and safety emergency process;Joint defense and control module, connect security risk prevention and control module, for based on the processing result of security risk prevention and control module, realize the data linkage and emergency response command between multi-level education management department and school. By constructing the campus security risk prevention and control cloud service platform, the intelligentization and collaboration level of campus safety management is significantly improved.

The application relates to the technical field of hybrid solid state disks, and discloses a hybrid solid state disk dynamic optimization method and device based on a large language model, which systematically classifies the parameter space of a hybrid solid state disk, constructs a parameter sensitivity matrix based on the classified parameters, determines the influence difference parameters of the parameters on performance under different workloads, collects system state information of the hybrid solid state disk in real time, generates an optimized parameter configuration scheme based on a large language model according to the system state information, the influence difference parameters and historical configuration information. The application can realize real-time perception of work load changes and dynamic focusing on the most sensitive parameter combination under the current load, realize collaborative reasoning and adaptive adjustment among multiple parameters, significantly reduce the write amplification rate and operation delay, and solve the problem that the response efficiency, system stability and energy consumption performance of the hybrid SSD are poor under a dynamic work load in the prior art.

The application discloses a cyanide-containing slag tailing pond groundwater environment risk early warning system, a groundwater monitoring well subsystem comprises a plurality of groundwater monitoring wells; a timing sampling control subsystem is used for controlling the pumping time, flow and frequency of a water pump in each groundwater monitoring well; a color reaction subsystem comprises a color developing device and is used for monitoring the color developing reaction of the groundwater sample; a color sensing subsystem comprises a light source and a color sensor, the light source is irradiated towards the color developing device, and the color sensor is used for collecting the emergent light signal of the color developing device after the color developing reaction; a central control platform comprises an early warning subsystem and an emergency disposal response subsystem, the early warning subsystem receives the color sensor signal and divides the risk grade according to the obtained signal; the emergency disposal response subsystem executes corresponding detection and repair responses according to the risk grade made by the early warning subsystem; the application realizes the rapid detection of the cyanide content in the groundwater around the cyanide-containing slag tailing pond and the feedback and early warning of the environmental pollution risk grade.

The embodiment of the application discloses a device management method and system based on task priority evaluation. The method comprises the following steps: determining a first device and a scheduling scene according to a business label of a task; determining a task priority of the first device according to at least a business parameter and the scheduling scene; the task priority is used for at least resource scheduling and fault handling of the task; predicting a fault occurrence condition when the first device processes the task based on an artificial intelligence (AI) model to obtain fault prediction information; starting a fault handling plan according to the task priority when the fault prediction information indicates that a specified period meets a specified condition; and managing and handling a fault of the first device according to the fault handling plan when the fault occurs.

This invention discloses a method for constructing large-scale model applications based on configurable workflows and domain knowledge bases, comprising the following steps: S1, constructing a domain knowledge base, establishing a semantic graph, and generating a knowledge embedding dataset; S2, defining a configurable workflow, setting jump rules based on a semantic flow language, and binding task semantic tags; S3, configuring a Prompt adaptive generation mechanism, combining semantic tags and the knowledge embedding dataset to generate Prompt input text; S4, calling the knowledge embedding dataset, retrieving semantic fragments, and embedding them into the Prompt to form an enhanced Prompt input; S5, inputting the large language model to obtain return results and metrics, and performing jump judgment; S6, scheduling large language model service instances, dynamically selecting service interfaces based on metrics and task status; S7, processing process termination nodes, organizing output results, and recording logs and call data. This invention achieves intelligent scheduling and application construction of large-scale models based on workflows and knowledge bases.

The application relates to the technical field of warehouse management and intelligent logistics, and discloses a warehouse position allocation strategy optimization method and system based on reinforcement learning, wherein the method comprises the following steps: constructing a warehouse state vector; generating a warehouse position allocation action set of a commodity unit SKU, and screening and migrating the action by adopting a double-layer policy gradient constraint mechanism; collecting real-time operation indexes and outputting real-time reward signals based on a three-dimensional engine simulation environment; constructing an experience four-tuple and performing policy iteration training by using a deep Q network; and performing closed-loop feedback optimization. Compared with the prior art which depends on static rules or heuristic algorithms for SKU warehouse position allocation, especially in the multi-category large warehouse scene, under the conditions of high SKU correlation and frequent combination picking, it is difficult to realize overall picking efficiency optimization. Since the application is driven by a reinforcement learning driven correlation clustering mechanism, dynamic adaptive cluster type warehouse layout optimization is realized, and the operation efficiency of the warehouse system is improved.

The invention discloses a project process and product demand information fusion method and device and a medium, and relates to the field of data processing. The method comprises the following steps: obtaining product demand information, decomposing the product demand information, and constructing a demand hierarchy BOM tree formed by a plurality of demand nodes; configuring a demand type and a predicted working hour for each demand node in the demand hierarchy BOM tree; based on the standard development process template, performing WBS decomposition on the target project to generate a plurality of project tasks; associating a demand node in the demand hierarchy BOM tree with the project task, and matching a corresponding standard development process template for the project task based on a demand type corresponding to the demand node; and calculating the predicted working hours of the demand nodes associated with each project task based on the predicted working hours of the sub demand nodes and the total predicted working hours of the parent demand nodes, and setting a project period for each project task. By implementing the technical scheme provided by the invention, the planning accuracy of the project plan is improved.

The invention discloses an oil and gas pipeline risk gradient dynamic management and control method based on multi-dimensional risk data, and particularly relates to the technical field of risk identification. The method comprises the steps of collecting structural data, environmental data, operation monitoring data and human factor data, and constructing a unified risk feature vector; extracting dominant risk factors based on principal component analysis, constructing a space-time joint risk evolution model, and identifying risk abrupt change points; calculating risk levels according to the risk change gradient and a scoring function, and dividing multiple levels of risk gradient intervals; constructing a resource matching priority table, calling a strategy library to implement differential processing, and updating a risk level based on a feedback result; according to the method, dynamic risk identification and optimal resource configuration are realized, and the intelligence and refinement level of oil and gas pipeline risk management and control is improved.

This invention discloses a water-cutting control method for heavy oil storage tanks, comprising the following steps: S110 acquiring top-view and side-view images of the fluid in the water-cutting pipeline; S151 using an ICM algorithm based on Markov random fields to segment the top-view and side-view images; S152 obtaining the heavy oil percentage P1 in the top-view image and the heavy oil percentage P2 in the side-view image based on the segmentation results; S153 calculating the heavy oil percentage n of the fluid in the water-cutting pipeline by weighted summation, where μ1 is the weight of the top-view image, μ2 is the weight of the side-view image, and μ1 + μ2 = 1; S154 comparing the calculated heavy oil percentage n of the fluid in the water-cutting pipeline with a preset shut-off threshold n0. When n ≥ n0, the water-cutting pipeline is shut off; when n < n0, the water-cutting state of the water-cutting pipeline is maintained and the process returns to step S110. This invention also discloses a water-cutting system for heavy oil storage tanks, electronic equipment, and a storage medium. This invention enables precise control of water cutting by acquiring images of the water-cutting pipe from both directions and performing image segmentation processing.

The utility model relates to the field of power distribution cabinets, in particular to a power distribution cabinet protection device, which comprises a protection box body, a main body used for providing protection capability for a power distribution cabinet, fixing bolts and reinforcing plates penetrating through two sides of the outer part of the protection box body and used for threaded connection, and outer impact pads are fixedly arranged outside the reinforcing plates. The power distribution cabinet protection device is provided with the reinforcing plate, the outer impact pad, the high-frequency current transformer, the temperature sensor, the inner protection frame, the vacuum arc extinguish chamber and the vacuum fuse switch. The protection box body, the external reinforcing plate and the external impact pad enhance the impact resistance and protection capability of the power distribution cabinet, physical protection is formed outside the power distribution cabinet, then the high-frequency current transformer and the temperature sensor are further arranged on the two sides of the power distribution cabinet components inside the power distribution cabinet body, and the high-frequency current transformer is used for detecting internal circuit faults.

The invention discloses a hot-rolled plate structure toughness prediction method and system combined with an impact energy change curve, and belongs to the technical field of metal material structure performance evaluation.The method comprises the steps that an impact test is conducted on a hot-rolled plate sample, and an impact force-displacement curve and an energy absorption-time curve are collected in real time; preprocessing the impact force-displacement curve and the energy absorption-time curve, and extracting characteristic parameters; acquiring hardness distribution data of the hot-rolled plate sample, acquiring hardness gradient data by using the hardness distribution data, and taking the hardness gradient data as a correction factor of the curve characteristics; constructing a structure toughness prediction model based on the characteristic parameters and the correction factors, and predicting the toughness grade and the structure state of the hot-rolled plate; and outputting the toughness grade and the structure state of the hot-rolled plate. According to the method, the limitation that traditional metallographic detection consumes too long time and an impact test only provides a single value is solved, double evaluation results can be obtained within 30 seconds after the impact test, and the method is suitable for rapid online quality monitoring and process adjustment of hot rolling production.

The invention discloses a network resource allocation method and device based on 5G Internet of Vehicles, which are used for improving the allocation efficiency and service quality of network resources in an Internet of Vehicles environment. The method comprises the following steps: determining a service priority corresponding to an Internet of Vehicles service according to an obtained Internet of Vehicles service request, the Internet of Vehicles service request comprising vehicle driving data, traffic environment data and service type data; determining network resource reserved data corresponding to the car networking service according to the service priority; and when it is judged that the network is congested, according to the service priority and the network resource reservation data, determining a resource allocation strategy for each Internet of Vehicles service, and according to the resource allocation strategy, performing resource allocation for the Internet of Vehicles service.

The utility model belongs to hydrogen fuel cell technical field especially relates to a hydrogen pressure reducing device with explosion -proof function. The utility model provides a hydrogen pressure reducing device with explosion -proof function, include: hydrogen delivery pipe, nitrogen delivery pipe, hydrogen pressure reducing valve, nitrogen pressure reducing valve, safety valve, nitrogen purging pipe, emptying pipe and multiple ball valves, pressure gauge and safety pipeline, through hydrogen pressure reducing valve and safety valve overpressure automatic pressure relief function, ensure that system pressure is stable, nitrogen purging pipe and emptying pipe constitute purging system, can remove residual hydrogen in pipeline, avoid the risk of explosion, each ball valve realizes gas source quick opening and closing control, and pressure gauge real -time monitoring pressure state, the device is equipped with check valve to prevent gas backflow, and filter guarantees that gas is pure. The utility model passes through multiple safety design, and the explosion -proof performance and operating safety are improved obviously.

The application provides a kind of based on streaming AI intelligent cache and breakpoint continuation method and system, the method includes: through the real-time encoding of the operation sequence of user and corresponding data to be uploaded by encoder, generates latent state sequence;The latent state sequence is input into the preset prediction model, and the prediction result is output, the prediction result includes: user next operation intention and affected data range;According to the latent state sequence, periodically generate and persist first breakpoint state snapshot;When breakpoint continuation is needed, the second breakpoint state snapshot selected by user from the first breakpoint state snapshot is loaded, and the replay operation sequence and replay data corresponding to the second breakpoint state snapshot are replayed based on the corresponding decoder of the encoder.

The utility model relates to an unmanned plane technical field discloses a kind of remote control material transport devices for unmanned island base station construction, including unmanned plane main body, the bottom of unmanned plane main body is provided with mounting mechanism.The utility model is connected support frame with unmanned plane main body bottom mounting mechanism, and the thread connection of first mounting slot is realized adjustable installation by first bolt and first bolt with connecting frame, and the sliding fit of movable storage frame is locked by second bolt and second mounting slot with the bottom sliding slot of receiving station, and the modularization bearing system of flexible adjustment is formed.The design solves the problem that traditional unmanned plane material transport device is inconvenient to adjust and poor in adaptability, support frame can adjust horizontal span according to material size, avoids the time-consuming problem of space waste and multiple disassembly and assembly, so that the device has the advantages of high efficiency, flexibility and safety in complex material transportation of unmanned island.

The application discloses an industrial robot flexible operation control method and system, and the method comprises the following steps: acquiring physical interaction representation of a robot and a workpiece to be processed, combining historical workpiece representation, determining a new task operation type through a task graph neural network, including reuse, combination or new establishment; generating or selecting corresponding strategy head parameters according to the operation type, combining environment observation to generate and execute mechanical arm action instructions; when the number of strategy heads exceeds a preset capacity, triggering compression maintenance, screening and retaining representative strategy heads to form an optimized active strategy library. The application realizes rapid strategy determination and generation based on physical interaction and graph structure relationship, significantly reduces manual demonstration and training time, and improves production line change response speed; through a structured compression mechanism, the strategy diversity and global knowledge are maintained under limited storage resources, and the adaptive ability and decision efficiency in long-term operation are guaranteed.

This application discloses a monitoring device for the operational status of urban lighting cables, belonging to the field of cable monitoring technology. It includes a housing and a control module, a monitoring module, and a communication module integrated into a circuit board within the housing. The housing is detachably installed inside a streetlight and electrically connected to an external power source. The monitoring module monitors the cable's operational status and feeds back data to the control module. The control module classifies the data and transmits it to external devices via the communication module. This invention, through its monitoring module, can comprehensively collect real-time operational data of lighting cables, overcoming the time limitations of traditional manual inspections and enabling continuous 24 / 7 monitoring. It also significantly improves the timeliness of fault warnings, increases monitoring efficiency, and accurately identifies latent defects in the lighting cables during operation, ensuring the normal and stable operation of the urban lighting system.

The application discloses a kind of alliance chain slice construction and consensus method based on dynamic clustering, comprising, the real-time computing power of alliance chain node, transaction frequency and transmission rate are collected;By verifiable random function, node is divided into Full_node of storing complete data and Slice_node of only storing slice data;DQN algorithm is used to determine the number of slices K, and the final consensus group is formed by selecting consensus representative nodes from Full_node based on dynamic performance threshold;The correlation matrix between the remaining nodes is constructed, and the nodes are evenly distributed to K slices by means of improved clustering algorithm;In each slice and consensus group, the Leader node is elected;When a new transaction arrives, execute the corresponding consensus process according to whether the transaction parties belong to the same slice, and write into the blockchain after verification, collect consensus performance data by Leader, and determine whether to trigger slice reconstruction according to performance data: if triggered, re-slice, otherwise continue to process transactions until completion;The application can improve the throughput of the overall system, relieve the data storage pressure, and improve the system response efficiency.

The invention relates to the technical field of highway charging piles, in particular to a unified consumption linkage service system for highway charging piles, and the system comprises a user interaction module which is used for receiving user position data and a charging pile operation instruction submitted by a user; the charging pile data acquisition module is used for acquiring real-time operation data of each charging pile in the expressway service area; the scheduling verification module is used for generating a charging scheduling instruction; the order processing module is used for calculating the charging metering data of the charging pile corresponding to the target charging pile identifier; the payment management module is used for updating the payment state of the charging order data based on the payment confirmation information; and the invoice filing module is used for outputting charging pile filing information when the payment state of the target to-be-invoiced order is paid and the invoicing state in the to-be-invoiced order is not invoiced. According to the invention, unified consumption linkage service management can be carried out on a plurality of charging piles in the expressway service area, and the response efficiency to the charging request of the user is improved.

The application discloses a resource calling method and device, which is applied to a proxy server, and in response to receiving a resource authorization request of a resource user, pre-authorization information matched with the resource authorization request is obtained, and the pre-authorization information is sent to the resource user, so that the resource user calls a target resource provided by a resource service party based on the pre-authorization information. The proxy server pre-stores pre-authorization information of the resource user and the resource service party, and the pre-authorization information is used to realize the authentication of the resource service party to the resource user. The resource user can obtain the pre-authorization information from the proxy server, so that the response time of the resource user for obtaining resource authorization is reduced, and the response efficiency of resource calling is improved.